The Databricks Advantage: One Platform for All Your Data and AI
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Learning Track
Specialty
Delivery methods
On-Site, Virtual
Duration
2 hours
This course introduces Databricks as a single, unified platform that brings together all of an organization’s data and AI needs. Participants will learn what Databricks is, why leading companies are adopting it, and how it helps simplify operations, reduce costs, and accelerate innovation by combining data storage, analytics, and AI in one place.
Learning Objectives
By the end of this course, learners will be able to:
- Describe what Databricks is in simple terms
- Explain how the Lakehouse model unifies data and AI
- Identify the business benefits: efficiency, scalability, and innovation
- Understand Databricks’ enterprise strengths: governance, security, and trust
- Compare Databricks to traditional data platforms and competitors
Audience
- Executives and managers evaluating data and AI platforms
- Business leaders driving digital transformation initiatives
- Technical leads who need to communicate platform value to stakeholders
Prerequisites
- No technical background required
- Interest in understanding modern data and AI platforms
Course outline
- Clear introduction to the platform
- Lakehouse architecture: Combining data lakes and warehouses
- Business value: Speed-to-insight, cost savings, collaboration
- How it accelerates AI adoption
- Built-in support for ML, generative AI, and advanced analytics
- Why global enterprises use Databricks to innovate
- Governance, security, and compliance
- Customer success stories and market adoption
- Databricks vs. traditional platforms and competitors
- Unique strengths and differentiators
